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Article detail · 2021

The Use of Machine Learning Methods in Classification of Pumpkin Seeds (Cucurbita Pepo L.)

Journal

Genetic Resources and Crop Evolution

ISSN 0925-9864

YÖKSİS OpenAlex SJR Q2 JCR Q3 Citations 56 Top 10% Percentile 95.2% FWCI 4.01
Year
2021
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Genetic Resources and Crop Evolution
  • Catalog match (ISSN) Genetic Resources and Crop Evolution
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

Abstract not compiled yet; it will appear after the DergiPark / OpenAlex queue runs.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

56 citations

OpenAlex cited_by_count (cache / database)

33 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. Edible and Poisonous Mushrooms Classification by Machine Learning Algorithms 2022 Citations 36 · OpenAlex
  2. Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms 2024 Citations 19 · OpenAlex
  3. Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories 2024 Citations 19 · OpenAlex
  4. Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms 2024 Citations 19 · OpenAlex
  5. Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories 2024 Citations 19 · OpenAlex
  6. Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories 2024 Citations 19 · OpenAlex
  7. Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms 2024 Citations 19 · OpenAlex
  8. Automated Classification of Biscuit Quality Using YOLOv8 Models in Food Industry 2025 Citations 14 · OpenAlex
  9. Automated Classification of Biscuit Quality Using YOLOv8 Models in Food Industry 2025 Citations 14 · OpenAlex
  10. A comparative evaluation of Bayes, functions, trees, meta, rules and lazy machine learning algorithms for the discrimination of different breeding lines and varieties of potato based on spectroscopic data 2022 Citations 12 · OpenAlex

Authors

  1. MURAT KÖKLÜ SELÇUK ÜNİVERSİTESİ
  2. ŞEYMA SARIGİL
  3. OSMAN ÖZBEK